For each model below, decide whether the fit is "poor", "ok", or "good". Then rank the models from 1 (best fit) to 8 (worst fit).

How good is the model? Ranking

1 A data scientist is working with data from animals at a shelter.

  • The range of days to adoption in this dataset are from 0 to 400.

  • An S value of 300 means predicted adoption times could be off by 300 days.

This is a(n) poor, ok, good model for the dataset.

2 A student is exploring a dataset on climate change.

  • The range of Arctic Sea Ice is from 3,920,000 to 7,670,000 square kilometers

  • An S value of 300 means predicted Arctic Sea Ice coverage could be off by 300 square kilometers.

This is a(n) poor, ok, good model for the dataset.

3 A data scientist is working with data from US public schools.

  • The range of graduates per school per year is 2 to 2003.

  • An S value of 300 means predicted graduate values could be off by 300 students.

This is a(n) poor, ok, good model for the dataset.

4 A student is exploring a dataset on earthquakes.

  • The range of earthquake depths in this dataset are from 4200m to 664000m.

  • An S value of 300 means predicted earthquake depths could be off by 300 meters.

This is a(n) poor, ok, good model for the dataset.

5 A student is exploring a dataset on arrests in Los Angeles.

  • The age range in this dataset is from 0 to 92.

  • An S value of 1 means predicted ages could be off by 1 year.

This is a(n) poor, ok, good model for the dataset.

6 A data scientist is working with data about snowflakes.

  • The range of snowflake weights is from 0.001 grams to 0.02 grams.

  • An S value of 1 means predicted values could be off by 1 gram.

This is a(n) poor, ok, good model for the dataset.

7 A data scientist is working with data from animals at a shelter.

  • The range of ages is from 0.5 years to 16 years.

  • An S value of 1 means predicted ages could be off by 1 year.

This is a(n) poor, ok, good model for the dataset.

8 A student is working with a dataset of adult blue whales.

  • The range of weights is 200,000 to 330,000 pounds.

  • An S value of 1 means predicted weights could be off by 1 pound.

This is a(n) poor, ok, good model for the dataset.

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